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object detection (keyword)

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book article EST / book article ENG

Automated training set size reduction for detection of small and thin objectsPihlak, Rene; Riid, Andri12th International Conference on Information Systems and Advanced Technologies "ICISAT 2022" : Intelligent Information, Data Science and Decision Support System2023 / p. 423-433 https://doi.org/10.1007/978-3-031-25344-7_39 Conference Proceedings at Scopus Article at Scopus

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Edge intelligence resource consumption by UAV-based IR object detectionPolukhin, Andrii; Gordienko, Yuri; Leier, Mairo; Jervan, Gert; Rokovyi, Oleksandr; Alienin, Oleg; Stirenko, SergiiUAVM '23 : proceedings of the 2023 Workshop on UAVs in multimedia : capturing the world from a new perspective2023 / p. 57-61 https://doi.org/10.1145/3607834.3616566

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Effects of annotation quality on model performanceAlhazmi, Khaled; Alsumari, Walaa; Seppo, Indrek; Podkuiko, Lara; Simon, Martin2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 13-16 April 20212021 / p. 063–067 https://doi.org/10.1109/ICAIIC51459.2021.9415271

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Exploring deep learning based object detection architecturSaddique, Muhammad Saddique; Raza, Ahsan; Abideen, Zain Ul; Khan, Shah Nawaz2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan, 20202020 / p. 255-259 https://doi.org/10.1109/IBCAST47879.2020.9044558

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Multi-stage deep learning networks for automated assessment of electricity transmission infrastructure using fly-by imagesManninen, Henri; Ramlal, Craig J.; Singh, Arvind; Kilter, Jako; Landsberg, MartElectric power systems research2022 / art. 107948 https://doi.org/10.1016/j.epsr.2022.107948 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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6

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Object detection for military surveillance using distributed multimodal smart sensorsAstapov, Sergei; Preden, Jürgo-Sören; Ehala, Johannes; Riid, Andri2014 19th International Conference on Digital Signal Processing2014 / p. 366-371 : ill

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Object detection for rescue operations by high-altitude infrared thermal imaging collected by unmanned aerial vehiclesPolukhin, Andrii; Gordienko, Yuri; Jervan, Gert; Stirenko, SergiiPattern Recognition and Image Analysis : 11th Iberian Conference, IbPRIA 2023, Alicante, Spain, June 27–30, 2023 : proceedings2023 / p. 490-504 https://doi.org/10.1007/978-3-031-36616-1_39 Conference proceedings at Scopus Article at Scopus

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8

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Open urban mmWave radar and camera vehicle classification dataset for traffic monitoringSoom, Jürgen; Leier, Mairo; Janson, Karl; Tuhtan, Jeffrey A.IEEE Access2024 / p. 65128 - 65140 https://doi.org/10.1109/ACCESS.2024.3397013 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG
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PCGOD: Enhancing object detection with synthetic data for scarce and sensitive computer vision tasksRemmas, Walid; Lints, Martin; Uudmae, Jaak JoonasIEEE Access2025 / p. 91325-91333 https://doi.org/10.1109/ACCESS.2025.3572719

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A systematic review of cutting-edge radar technologies : applications for unmanned ground vehicles (UGVs)Ersü, Can; Petlenkov, Eduard; Janson, KarlSensors2024 / art. 7807 https://doi.org/10.3390/s24237807 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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11

book article

Toward automated utility pole condition monitoring : a deep learning approachRamlal, Craig J.; Singh, Arvind; Rocke, Sean; Manninen, Henri; Kilter, Jako; Landsberg, MartProceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 26-28 October, 20202020 / p. 255–259 https://doi.org/10.1109/ISGT-Europe47291.2020.9248797

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Related publications 1
- Data-driven asset management and condition assessment methodology for transmission overhead lines = Ülekandevõrgu õhuliinide andmepõhine varahalduse ja seisundi hindamise metoodika

Number of records 11, displaying 1 - 11

1. multi-classed object detection
2. object detection
3. anticompetitive object/effect
4. Boundary object
5. Digital Object Memory
6. dynamic object
7. free object of a variety
8. generic object-oriented substation event
9. immediate object
10. object
11. object constraint languages
12. object detecting
13. object model
14. object oriented concepts
15. object segmentation
16. object similarity
17. object-oriented approach
18. object-oriented design
19. object-oriented programming
20. object-oriented programming languages
21. object-relational database
22. amoxicillin detection
23. anomaly detection
24. anomaly detection for system logs
25. antibiotic detection
26. antibiotics detection
27. aspect detection
28. asynchronous fault detection
29. attack detection
30. barotrauma detection system
31. Barotrauma detection system sensors
32. behaviour-based intrusion detection systems
33. body detection
34. botnet detection
35. capacitively coupled conductivity detection
36. change detection
37. chemical detection
38. community detection
39. compu ter-aided detection(CAD)
40. computer-aided detection
41. computer‐aided detection
42. contactless conductivity detection
43. contactless conductivity detection (C4D)
44. crack detection
45. crash detection
46. cyber intrusion detection
47. defect detection
48. detection
49. detection efficiency
50. detection engineering
51. detection mechanisms
52. detection method
53. detection methods
54. detection of anomalous end user nodes
55. detection of hydrogen isotopes
56. distributed detection
57. early detection
58. early intrusion detection
59. energy detection
60. error detection
61. ESI-MS and IM detection
62. evaluation of explainable AI intrusion detection
63. Event detection
64. extraction and detection methods
65. face detection
66. Face Manipulation Detection
67. failure detection
68. fall detection
69. fault detection
70. fault detection and diagnoses
71. fault detection and diagnosis
72. Fish detection
73. fouling detection
74. harmonic detection
75. health care IoMT intrusion detection
76. hepatitis C virus (HCV) detection
77. hubs detection
78. IED detection
79. image-based crack detection
80. indicident detection and response
81. indirect UV absorbance detection
82. intrusion detection
83. intrusion detection system
84. intrusion detection system (IDS)
85. intrusion detection systems
86. island detection
87. islanding detection
88. label-free detection
89. lane detection
90. lane line detection
91. LED fluorescence detection
92. leg detection
93. light detection and ranging
94. light detection and ranging (LiDAR)
95. Light Detection and Ranging (LiDAR) point cloud
96. limit of detection
97. lock-in detection
98. loop-closure detection
99. malware detection
100. marker detection
101. mobile malware detection
102. money laundering detection systems
103. monitoring and detection
104. Multi-valued Simulation for Hazard Detection in Digital Circuits
105. mutant detection
106. network anomaly detection
107. network intrusion detection system
108. nodules detection
109. oil-spill detection
110. outlier’s detection methods
111. outliers detection
112. peak detection
113. phytoplankton detection methods
114. plagiarism detection
115. position detection
116. precursor detection
117. protein detection
118. proton detection
119. radar detection
120. ramp event detection
121. recycled FPGA detection
122. residual current detection
123. robust detection
124. scene text detection
125. short-circuit detection
126. small molecule detection
127. speech activity detection
128. Suicidal ideation detection
129. synchronous detection
130. topic detection
131. tyre detection
132. unmanned aerial vehicle detection systems
133. unsupervised outlier detection
134. UV detection
135. vehicle detection
136. vortex detection
137. 3D lane detection

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